Evidence map›Paper›PMID 11705985›Full record

ArticleInfection and immunity2001

Innate resistance to Babesia infection is influenced by genetic background and gender.

I Aguilar-Delfin, M J Homer, P J Wettstein, D H Persing

Open access · greenAbstract readComparative Study
In one paragraph

Article in Infection and immunity, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Molecular detection ofOpen veterinary journal · 2023
    Article
  6. Bio-protocol · 2022
    Article
  7. Article
  8. Treatment of Human Babesiosis: Then and Now.Pathogens (Basel, Switzerland) · 2021
    Review
  9. Frontiers in microbiology · 2021
    Review
  10. Article
  11. Frontiers in cellular and infection microbiology · 2020
    Article
  12. Review
  13. Protozoan ParasiteFrontiers in microbiology · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Frontiers in microbiology · 2018
    Article
  18. Elimination ofJournal of immunology (Baltimore, Md. : 1950) · 2017
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

I Aguilar-DelfinDepartment of Immunology, Mayo Clinic and Foundation, Rochester, Minnesota 55905, USA.
M J Homer
P J Wettstein
D H Persing
Mayo Clinic · USCorixa Corporation · USInfectious Disease Research Institute · US

Funding

NIAID NIH HHS AI 41497
6 · The paper itself

Abstract

Infection of severe combined immunodeficient mice with Babesia sp. strain WA1 was studied to assess the contributions of innate and adaptive immunity in resistance to acute babesiosis. The scid mutation showed little effect in genetically susceptible C3H mice and did not decrease the inherent resistance of C57BL/6 mice to the infection, suggesting that innate immunity plays a central role in determining the course of Babesia infection in these strains. In contrast, the scid mutation dramatically impaired resistance in moderately susceptible BALB/c mice, suggesting that acquired immunity may play an important secondary role. In comparison to their female counterparts, male mice of different genetic backgrounds showed increased resistance to the infection, indicating that the gender of the host may influence protection against babesiosis.

Indexed as

AnimalsBabesiosisFemaleImmunity, InnateMaleMiceMice, Inbred AKRMice, Inbred BALB CMice, Inbred C3HMice, Inbred C57BLMice, SCIDSex Factors

Identifiers

PMID11705985
PMCPMC98899
OpenAlexW2146650341

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.